Method of processing 3d images, and corresponding system

ABSTRACT

The method is for processing a multiplex image, the multiplex including at least one first view intended to be viewed by a first eye of an observer and at least one second view intended to be viewed by a second eye of the observer. The two views are spatially sub-sampled according to complementary grids and mutually spatially shifted. The method includes a demultiplexing of the multiplex image so as to extract the first and the second views. And, for at least one missing pixel of the first view, there is a determination of a first window of the first view containing the location of the missing pixel and representing a first detail in the first view, a determination of a second window of the second view representing the same first detail in the second view, and a formulation of the missing pixel by using the pixels of the second window.

FIELD OF THE INVENTION

The present disclosure relates to image processing, in particular forimproving resolution. The processed images are for example stereoscopic,auto-stereoscopic, 3D, three-dimensional or more generally images inwhich at least two views intended for each of the two eyes aremultiplexed. The present disclosure applies advantageously butnon-limitingly to image display devices and more generally to any imageprocessing device.

BACKGROUND OF THE INVENTION

In the prior art there exists a directional or diagonal interpolationapproach called Diagonal Correlated Deinterlacing (DCDi) which allowsthe resolution of a two-dimensional conventional image to be increased.According to this approach, several pairs of windows of the same size(for example 7*3 pixels) are selected in the neighborhood of a missingpixel. The pair exhibiting the best correlation is then selected so asto carry out a so-called diagonal interpolation computation making itpossible to determine the value of the missing pixel.

This approach is not specifically adapted to 3D images which exhibitparticular features with respect to conventional 2D images. Indeed,image formation able to simulate a perception of relief may require themultiplexing of two views, one for the right eye and the other for theleft eye and these two views generally exhibit similarities.

To carry out this multiplexing there exist various 3D formats. Twocategories of the latter may be distinguished, depending on whether theviews for the right eye and the left eye are multiplexed in time (forexample, the Frame Sequential format according to a term well known tothe person skilled in the art) or in space (for example, the “lineinterleave” format according to a term well known to the person skilledin the art). In the latter case reference is made to spatialsub-sampling allowing each high-definition (HD) frame to contain anarrangement of the two views. For example, the two views areinterleaved, they can also be side by side or top bottom. The resolutionof each of the two multiplexed views is then halved.

It is also possible to multiplex more than one view for each of the eyesin the case, for example, of an auto-stereoscopic system offeringseveral viewpoints, for example a multiplex can contain 8 views in a 4Kframe (which includes four HD frames).

SUMMARY OF THE INVENTION

According to one mode of implementation and embodiment, there isprovided a method and a device for image processing to utilize theparticular features of the 3D images so as to increase their resolution.

According to another mode of implementation and embodiment, there isprovided a method and a device for image processing which make itpossible to amplify or reduce the perception of depth of a 3D image.

According to one aspect, there is provided a method for processing amultiplex image, the multiplex image comprising at least one first viewintended to be viewed by a first eye of an observer and at least onesecond view intended to be viewed by a second eye of the observer, thetwo views being spatially sub-sampled according to complementary gridsand mutually spatially shifted. The method comprising a demultiplexingof the multiplex so as to extract the first and the second view. And forat least one missing pixel of the first view: a determination of a firstwindow of the first view containing the location of the missing pixeland representing a first detail in the first view; a determination of asecond window of the second view representing the same first detail inthe second view; and a formulation of the missing pixel by using thepixels of the second window.

Thus, provision is made to use the view intended for one eye todetermine the missing pixel in the view intended for the other eye. Moreprecisely the shift between the first and the second view is generallynot constant for the whole of the view and may vary from one zone of theview to another. The determination of a second window containing thesame detail of the view as that contained in the first view is thereforeequivalent to determining the local shift (or parallax allowing theperception of depth) between the two views.

In this regard, windows having a size such that the local parallax ismuch the same for all the pixels contained in the windows may preferablybe chosen. It may be possible to choose for example a rectangular windowcentered on the missing pixel and having a reduced size, for example,7×3 pixels. Of course, the person skilled in the art may know to choosethe shape and the size of the window so that the local parallax varieslittle inside the window.

The characteristics of the 3D images with spatial sub-sampling (which isdetailed below) are thus taken into account to obtain an effective andparticular algorithm. The characteristics of a 3D image relating to thefact that the first and the second view exhibit similarities are fullyutilized to allow better-quality missing pixel formulation. Although itis possible to carry out the method steps only on a detail of the view,such steps may be generally advantageously repeated on the whole set ofmissing pixels of the first view so as to increase the resolution of thefirst view.

The determination of the second window for the formulation of themissing pixel can be performed in several ways. A first way envisagesfor example the use of computations of correlation between severalshifted second candidate windows and the first window to determine thebest second candidate window. A second way envisages the use ofinformation about parallax contained in the incoming video stream. Thisparallax information relates for example to the pixels present in thefirst view or the pixels present and the pixels missing from the firstview.

This second way may be used for example if in certain cases the firstway does not allow the window to be obtained in a definite manner. Thatbeing noted, this second way may be used directly without previouslyusing the first way.

Thus, according to one mode of implementation, the determination of thesecond window may comprise: a determination of several candidate windowswithin the second view, each second candidate window being included in azone of chosen size of the second view, the zone containing the positionof the missing pixel; computations of correlation between the firstwindow and each second candidate window; and a selection of the secondcandidate window exhibiting the most significant correlation with thefirst window. Thus, it is simple to determine a window representing oneand the same detail by using correlation computations.

According to another mode of implementation, the step of determining thesecond window may comprise: a reception of a stream comprising parallaxinformation associated with the two views; and a selection of a secondwindow included in a zone of chosen size of the second view, the zonecontaining the position of the missing pixel and whose shift with thefirst window is the closest to the parallax information of the missingpixel. This shift may be vertical and horizontal.

As indicated hereinabove, it is possible to use the stream comprisingthe parallax information independently of the use of the correlationand/or as a supplement to the correlation. Thus, the stream comprisingparallax information may then be useful in two cases as follows: ifseveral window candidates having a strong correlation with the window ofthe first view are determined; and if no better window candidate can bedetermined with the correlation computations. In these two cases thestream comprising parallax information makes it possible to select oneand only one second window.

As indicated previously, according to one mode of implementation, themethod steps may be repeated on all the missing pixels of the first viewso as to increase the resolution of the first view. It is possible tocarry out the same algorithm on the second view so as also to increasethe resolution of this second view. But it may be simpler to formulatefor example a missing pixel in the second window on the basis of thepixels of the first window associated therewith.

Thus in the case for example of an implementation in software form, ormore generally in the case of an implementation in which access to largecapacity memories is possible, the formulation of the missing pixel ofthe second window may be carried out just after the formulation of themissing pixel of the first window. Indeed, correlation being acommutative relation, if the second window exhibits the best correlationfor the first window, the first window also exhibits the bestcorrelation for the second window. It is therefore possible to use thisfirst window to fill at least one missing pixel in the second window,for example by filling a missing pixel of the second window with a pixelhaving the same position, present in the first window.

According to another mode of implementation, the method furthercomprises a multiplexing of the two views with their increasedresolution with regard to the shift information obtained on the basis ofthe pairs of first and second windows. Thus, after having retrieved aright view and a left view with their original resolution, a 3D imagewith an increased resolution is obtained by performing a multiplexing ofthese two views with their increased resolution. The multiplexing iscarried out for example temporally in accordance with the “FrameSequential” format, it can also be spatial or spatio-temporal.

According to one mode of implementation, the shift information obtainedis multiplied by a coefficient before the multiplexing of the first andsecond view. It is thus possible to shift the pixels of the viewintended for one eye with respect to the pixels of the view intended foranother eye with a locally adapted shift value. Thus it is the depthperceived by the observer that is adapted. This depth corresponds to thedistance between the object point perceived by the observer and thescreen on which the observer's eyes focus. The adjustment isparticularly relevant for a general-public application in which thedistance between the screen and the observer may be small compared withthe depth of the observed object (size of the lounge). Indeed, when thedifference between the perceived object point and the point on which theeyes focus is significant compared with the screen observer distance,the observer may experience a sensation of annoyance combined withheadaches. By virtue of this adapted depth, it is for example possibleto reduce the distance between the object point and the point offocusing of the eyes.

According to another aspect, there is provided a system for processing amultiplex image, the multiplex comprising at least one first viewintended to be viewed by a first eye of an observer and at least onesecond view intended to be viewed by a second eye of the observer, thetwo views being spatially sub-sampled according to complementary gridsand mutually spatially shifted. The system comprising an input block ormeans for receiving the multiplex, and processing means comprising: ademultiplexing block or means configured to demultiplex the multiplex soas to extract the first and the second view; a first determination blockor means configured to determine a first window of the first viewcontaining the location of a missing pixel of the first view andrepresenting a first detail in the first view; a second determinationblock or means configured to determine a second window of the secondview representing the same first detail in the second view; aformulation block or means configured to formulate the missing pixel byusing the pixels of the second window; and a control block or means ableto activate the first and second determination means and the formulationmeans.

According to another embodiment, the second determination means maycomprise: a preselection block or means for preselecting several secondcandidate windows within the second view, each second window beingincluded in a zone of chosen size of the second view, the zonecontaining the position of the missing pixel; a computation block ormeans configured to perform computations of correlation between thefirst window and each second window; and a selection block or meansconfigured to select from among the second candidate windows the secondwindow exhibiting the most significant correlation with the firstwindow.

According to another embodiment, the selection means are configured toselect, on receipt of a stream comprising parallax informationassociated with the two views, a second window being included in a zoneof chosen size of the second view, the zone containing the position ofthe missing pixel and whose shift with the first window is the closestto the parallax information of the missing pixel.

According to another embodiment, the control means are able to activatethe first and second determination means and the formulation means foreach of the missing pixels of the first view. According to anotherembodiment, the formulation means are configured to formulate a missingpixel in the second window on the basis of the first window associatedtherewith. According to another embodiment, the processing meansfurthermore comprise multiplexing means configured to multiplex the twoviews with their increased resolution having regard to the shiftinformation obtained on the basis of the pairs of first and secondwindows.

According to another embodiment, the processing means comprise amultiplication block or means configured to multiply by a coefficientthe shift information obtained before the multiplexing of the first andsecond view. According to another aspect, there is provided anappliance, for example a 3D television or a digital television decodercomprising a system for processing a multiplex such as described above.

BRIEF DESCRIPTION OF THE DRAWINGS

Other advantages and characteristics of the present disclosure may beapparent on examining the detailed description of non-limiting modes ofimplementation and embodiments and the appended drawings in which:

FIG. 1 schematically illustrates an exemplary 3D image resulting from amultiplexing using a sub-sampling.

FIGS. 2 to 6 are schematic diagrams illustrating various modes ofimplementation of a method for increasing resolution of the first viewin accordance with present embodiments.

FIG. 7 is a schematic diagram illustrating the principle of the opticalformation of a 3D image.

FIG. 8 is a schematic block diagram illustrating an embodiment of asystem according to the present disclosure.

FIG. 9 is a schematic block diagram illustrating an embodiment of anappliance including an exemplary system according to the presentdisclosure.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

The multiplexing which is particularly described hereinafter is thatknown by the name “line interleave”. However, the principles describedbelow apply to any format, using the multiplexing of two spatiallysub-sampled stereoscopic views. Thus, the HDMI standard defines thefollowing sub-sampling grids: Line interleave (vertical sub-sampling);Column interleave (horizontal sub-sampling); and Pixel interleave(checkerboard sub-sampling grid according to a term well known to theperson skilled in the art).

These grids are used during a multiplexing of views in a 3D image. Byway of exemplary embodiment, two complementary grids are used, one eachview. The grids define for each of the views the pixels which may bepreserved and those which may be deleted during the multiplexing. Thetwo sub-sampled views are thus obtained in a single image. For example,in the case of two complementary grids with horizontal lines, a verticalsub-sampling is obtained for which in each of the two views one line outof two is deleted, therefore leading to missing pixels with respect tothe original view.

And it is these sub-sampled views which are multiplexed in a 3D image.The multiplexing then includes arranging the remaining pixels in eachview in a composite 3D image. In this composite image, the two views aremutually spatially shifted to allow the perception of relief by theobserver. The shift may be different for each pixel and the whole set ofshifts correspond to parallax information.

In FIG. 1, a multiplex image of two views is illustrated. The twomultiplexed views are almost identical, they represent one and the sameobject, for example a rabbit from two different viewpoints. The twoviews could also be quite simply identical.

The first view is represented in the multiplex on the even lines marked“+” and intended for one eye of the observer, and the second view isrepresented in the multiplex on the odd lines marked “×” intended forthe other eye of the observer. In this diagram for reasons of clarity,the lines include several pixels width-wise, whereas in reality, thelines comprise only a single pixel width-wise.

The lines (×) of the second view are shifted to the left with respect tothe lines of the first view (+). This shift is called parallax. It is ingeneral, variable for each of the pixels of the first and the secondview. It is directly linked with the depth perceived by the observer.This depth corresponds to the distance between the object pointperceived by the observer and the screen on which the observer's eyesfocus.

In FIG. 2 are illustrated the steps of a method for increasingresolution of the first view according to the present disclosure.Initially (501), the multiplex image is demultiplexed as a function ofthe type of multiplexing so as to extract the first and the second view.This step is carried out by a demultiplexing block or means 401 (FIG.8). Thus, first and second sub-sampled views are obtained on the basisof the 3D image. This sub-sampling results, for example as illustratedin FIG. 3, in the omission of one line of pixels out of two in each ofthe two views. This figure is also referred to hereinafter in the text.

Next, a first window F1 containing the position of the missing pixel isdetermined (502) in the first view. The size of the window F1 is fixed,for example 7×3 pixels. This step is carried out by first determinationblock or means 402 (FIG. 8). This pixel A whose position is illustratedin FIG. 3 is a pixel belonging to the first original view and which onaccount of the sub-sampling is missing from the first view.

Next, a second determination block or means (403, FIG. 8) undertakes thedetermination (503) of a second window F2 in the second view. Thissecond window F2 is associated with the first window in the sense thatit represents the same detail as the first window in the second view,for example the detail D0 (FIG. 1).

As may be seen in FIG. 3, the window F2 is shifted by a shift valuePmax. Since the two windows represent the same detail in each view, theshift Pmax corresponds substantially to the local parallax (for thisdetail) between the two views. And if a shift of the value of this shiftPmax were applied to the pixels of the odd line of the detail D0 (FIG.1), a transformed detail would then be obtained, from which thediscontinuities would be deleted.

Next on the basis of the second window, the missing pixel is formulated(504). For this purpose, a formulation block or means (404, FIG. 8) may,as a function of the pixels of the second window, determine a value forthe missing pixel of the first window. This value may then be insertedinto the first window. For example the value is taken of the pixel B ofthe window F2 which is superimposed on the pixel A if the shift Pmax iscancelled. It is also possible to form a weighted sum of the values ofseveral pixels of the window F2 around the pixel B and to insert thispixel value for the pixel A.

In the course of this step (504) the formulation means (404, FIG. 8) canalso determine missing values of pixels for the window F2. For thispurpose, they use the pixels of the window F1 of the first view. Forexample, the value of the pixel D of the window F1 may be inserted atthe position of the missing pixel C of the window F2, this pixel D beingsuperimposed on the pixel C if the shift Pmax is cancelled. The firstand the second modified window are then stored, as is the parallaxinformation of the pixels of the first and of the second window. Thestorage is for example carried out by the formulation means (404, FIG.8).

A control block or means (406, FIG. 8) is then able to activate thefirst and second determination means as well as the formulation means soas to repeat steps 502, 503, 504 on the whole set of missing pixels ofthe first view so as to increase its resolution. It is possible toincrease the resolution of the second view by carrying out all that hasjust been described on the second view.

According to a variant, in the case where at least one missing pixel hasbeen formulated for each second window, it is possible to use the secondstored windows to form a second view without any missing pixel and whoseresolution is therefore increased. The step of determining the secondwindow F2 may be carried out in accordance with various modes ofimplementation.

According to a first mode of implementation also illustrated in FIG. 2,to determine the second window F2, the determination of several secondcandidate windows in the second view (505) is firstly undertaken. Forthis purpose, a preselection block or means (4030) preselects thecandidate windows of the second view. The correlation computations maythus be carried out only on the preselected windows. This makes itpossible to avoid tedious computations on all the windows of the secondview. The preselection means determine or recover the position of themissing pixel of the first view and then preselect the whole set ofcandidate windows contained in a zone of chosen size of the second viewcontaining the position of the missing pixel.

By way of exemplary embodiment, the size of the zone may be chosen inwidth equal to the vertical width of the window F1. In this case,vertical alignment of the zone may be carried out as a function of thesub-sampling grid. This makes it possible to limit the size of the zonewithout excluding the windows representing the same detail. For example,in the “Line interleave” case, a zone of the second view whose verticalwidth is equal to that of the window F1 is determined. This zonecontains the position of the missing pixel and is aligned with the linejust below the window F1. In this case, it is also possible to limit thehorizontal positions of the second candidate windows by arbitrarilyfixing a series of several spacings of window to be tested.

More generally, the size of the zone is such that the windows of thesecond view representing the same detail as the window F1 are notexcluded. Thus, the vertical width of the zone may be sufficientlysignificant and/or the vertical alignment sufficiently precise so thatthe windows of the second view potentially representing the same detailas the first window are included therein, this being so also in the caseof a vertical parallax for example because of poor alignment of thecameras.

Each of the preselected windows is then tested (506) from the viewpointof its correlation with the first window F1. A computation block ormeans (4031) compute the correlation of each second preselected windowwith the first window. Second candidate windows which have severalvalues of shift with the first window are thus tested.

The correlation can by way of an exemplary embodiment be computed byusing a computation method called SAD according to an acronym well knownto the person skilled in the art for Sum of Absolute Difference whichincludes calculating the sum of the absolute values of the differencesof value of each pixel of a window with the value of the pixel havingthe same position in the other window. These tests allow a selectionfrom among the candidate windows of the window exhibiting the bestcorrelation with the first window (507). For this purpose, thecorrelation computations are transmitted to a selection block or means(4032) which selects the window F2 exhibiting the best correlation withthe window F1.

Thus, in the case illustrated for the shift value Pmax of the twowindows determined, a maximum correlation with the first window isobtained. On the basis of this shift Pmax, a parallax value for thepixels contained in these two windows can be determined: it is equal tothe shift value. In the mode of implementation illustrated, the shift ishorizontal, it can also be vertical in the case of a vertical parallax.

According to a second mode of implementation illustrated in FIG. 4, forthe determination of the second window, a stream comprising parallaxinformation associated with the two views is used. The stream containsfor example parallax information for each of the pixels present in thefirst view with respect to the second view.

This information stream is received (601) by the selection means (4032).The stream can have a compressed format according to the H264 standardfor example. If appropriate, the stream is processed by the selectionmeans according to a decompression method well known to the personskilled in the art so as to extract therefrom the parallax information.This parallax information can by way of exemplary embodiment be coded inan image whose resolution is less than or equal to the resolution of aview. In this case it may be necessary to decompress the stream and tointerpolate the parallax associated with the missing pixel. With thisparallax information, the selection means (4032) determines the parallaxof the missing pixel of the first view with respect to the second view.

With the aid of this stream, the selection means (4032) selects (602)from among windows included in a zone of chosen size of the second viewwhich contains the position of the missing pixel and whose vertical andhorizontal shifts with the first window are the closest to the parallaxinformation of the missing pixel. By way of exemplary embodiment, theselection mentioned hereinabove is carried out from among windowspreselected by the preselection means. The selected window is thenassociated with the first window. Stated otherwise, this stream is usedto determine the parallax of the missing pixel. This parallax makes itpossible to select the window F2.

The two variants which have been illustrated in FIGS. 2 and 4 may beimplemented independently of one another. That said, if the correlationdoes not allow a satisfactory selection. That is to say if after thecorrelation computations, several windows have a high correlation value(a high correlation may be defined as a percentage of the maximumcorrelation) with the window F1 or if no window with a correlationgreater than a threshold can be determined. The parallax informationstream may be used either to decide between the second candidate windowswhich have one and the same maximum value, or to determine a secondwindow.

FIGS. 5 and 6 illustrate the multiplexing processing for the views whoseresolution has been increased. According to a first mode ofimplementation (FIG. 5), the two views are multiplexed (701) by themultiplexing means (405, FIG. 8) by taking account for each of thepixels of the parallax information of each of the pairs of windowscontaining the position of the pixel and stored by the formulation means(404, FIG. 8).

According to a second mode of implementation (FIG. 6), the parallaxinformation is multiplied (702), before the multiplexing, by acoefficient which is fixed or which is transmitted by the observer. Themultiplication can, for example, be carried out before the storage ofthe parallax information by the formulation means (404, FIG. 8). Themultiplexing is carried out by the multiplexing means (405, FIG. 8). Thelatter by virtue of the parallaxes (multiplied or not) of each of thepixels and by virtue of the whole set of pixels of the first and thesecond view may be able to carry out a multiplexing so as to form a 3Dimage.

Thus, it is thus possible to obtain a display of a 3D image having notlost any resolution. By way of exemplary embodiment, the multiplexing iscarried out temporally in accordance with the “Frame Sequential” format.A spatial or spatio-temporal multiplexing is also possible. In the caseof spatial multiplexing, it is possible to use a projector with twice asgreat a resolution as each of the two views. Thus, a 3D composite imageis obtained, in which the resolution of the views is preserved. Themultiplexing can include for example arranging each view in a top/bottomcomposition, or over/under composition according to a term well known tothe person skilled in the art. It is also possible in the case of theuse of video glasses to project each of the views with the increasedresolution for the corresponding eye.

It is also possible, by multiplying the parallax information, to adjustthe depth as is indicated below with reference to FIG. 7. In FIG. 7 theprinciple of the formation of a 3D image is illustrated. Illustratedtherein is: a screen; two eyes in position (0,D) and (x_(B), D) withx_(B) the value of the spacing between the two eyes, the axis of theeyes is therefore parallel to the screen and spaced a value D from thisscreen; three points whose coordinates perceived by the observer are(x₁, z₁), (x₂, z₂), (x₃, z₃).

These three points represent three objects of a 3D image. Theirprojection on the screen is respectively represented by the points(x_(Li), x_(Ri)), the index i taking the values 1, 2 and 3. x_(Li)corresponds to the position of the point of index i on the screen asseen by the left eye and x_(Ri) corresponds to the position of the pointof index i on the screen as seen by the right eye.

The observer by observing the pairs of homologous points (x_(Li),x_(Ri)) perceives the position and the depth of the object points(x_(i), z_(i)). It is therefore seen that the parallax p_(i)corresponding to the spacing between the positions of the homologouspoints (x_(Li), x_(Ri)) is directly linked with the sensation of depth.The formula describing this is:

p _(i) =x _(B)·(1−D/(D−z _(i)))

Thus, by reducing the parallax, the sensation of depth z_(i) is reducedand conversely, by increasing the parallax, the sensation of depth isincreased.

FIG. 8 illustrates a system architecture 400 in which the input block ormeans 407 is linked to the processing means incorporating the blocks ormeans 401 402, 403, 404, 406 and the multiplexing block or means 405mentioned above. At least some of these blocks or means may beimplemented in the form of software modules for example in one or morecomputers.

FIG. 9 illustrates an exemplary appliance 900 comprising the processingsystem 400. This appliance may be for example a 3D television or else adigital television decoder which processes data containing videostreams, and known as a “set top box”. This decoder may be linked to theADSL (Asymmetric Digital Subscriber Line according to a term well knownto the person skilled in the art), to a fiber optic network, to a cable,or may receive DTT (Digital Terrestrial Television).

Many modifications and other embodiments of the present disclosure willcome to the mind of one skilled in the art having the benefit of theteachings presented in the foregoing descriptions and the associateddrawings. Therefore, it is understood that the present disclosure is notto be limited to the specific embodiments disclosed, and thatmodifications and embodiments are intended to be included within thescope of the appended claims.

1-15. (canceled)
 16. A method for processing a multiplex image, themultiplex image comprising at least one first view intended to be viewedby a first eye of an observer and at least one second view intended tobe viewed by a second eye of the observer, the two views being spatiallysub-sampled according to complementary grids and mutually spatiallyshifted, the method comprising: demultiplexing the multiplex image toextract the first and the second view; and for at least one missingpixel of the first view a) performing a determination of a first windowof the first view containing the location of the missing pixel andrepresenting a first detail in the first view, b) performing adetermination of a second window of the second view representing thefirst detail in the second view, and c) performing a formulation of themissing pixel by using the pixels of the second window.
 17. The methodaccording to claim 16, wherein the determination of the second windowcomprises: a determination of a plurality candidate windows within thesecond view, each second candidate window being included in a zone of achosen size of the second view, the zone containing a position of themissing pixel; computations of correlation between the first window andeach second candidate window; and a selection of the second candidatewindow exhibiting a most significant correlation with the first window.18. The method according to claim 16, wherein the determination of thesecond window comprises: a reception of a stream comprising parallaxinformation associated with the two views; and a selection of the secondwindow included in a zone of chosen size of the second view, the zonecontaining a position of the missing pixel and whose shift with thefirst window is the closest to the parallax information of the missingpixel.
 19. The method according to claim 16, wherein steps a), b) and c)are repeated on each of the pixels of the first view to increase theresolution of the first view.
 20. The method according to claim 16,wherein the formulation of a missing pixel in the second window isperformed on the basis of the first window associated therewith.
 21. Themethod according to claim 19, further comprising multiplexing the twoviews with increased resolution based upon shift information obtained onthe basis of pairs of first and second windows.
 22. The method accordingto claim 21, wherein the shift information obtained is multiplied by acoefficient before the multiplexing of the first and second views.
 23. Asystem for processing a multiplex image, the multiplex image comprisingat least one first view intended to be viewed by a first eye of anobserver and at least one second view intended to be viewed by a secondeye of the observer, the two views being spatially sub-sampled accordingto complementary grids and mutually spatially shifted, the systemcomprising: an input block configured to receive the multiplex image;and a processing block comprising a demultiplexing block configured todemultiplex the multiplex image to extract the first and the secondview, a first determination block configured to determine a first windowof the first view containing the location of a missing pixel of thefirst view and representing a first detail in the first view, a seconddetermination block configured to determine a second window of thesecond view representing the first detail in the second view, aformulation block configured to formulate the missing pixel by using thepixels of the second window, and a control block configured to activatethe first and second determination blocks and the formulation block. 24.The system according to claim 23, wherein the second determination blockcomprises: a preselection block configured to preselect several secondcandidate windows within the second view, each second candidate windowbeing included in a zone of chosen size of the second view, the zonecontaining a position of the missing pixel; a computation blockconfigured to perform computations of correlation between the firstwindow and each second window; and a selection block configured toselect from among the second candidate windows the second windowexhibiting the most significant correlation with the first window. 25.The system according to claim 24, wherein the selection block isconfigured to select, on receipt of a stream comprising parallaxinformation associated with the two views, a second window included in azone of chosen size of the second view, the zone containing a positionof the missing pixel and whose shift with the first window is theclosest to the parallax information of the missing pixel.
 26. The systemaccording to claim 23, wherein the control block is configured toactivate the first and second determination blocks and the formulationblocks for each missing pixel of the first view.
 27. The systemaccording to claim 26, wherein the formulation block is configured toformulate a missing pixel in the second window on the basis of the firstwindow associated therewith.
 28. The system according to claim 23,wherein the processing block further comprises a multiplexing blockconfigured to multiplex the two views with increased resolution basedupon the shift information obtained on the basis of pairs of first andsecond windows.
 29. The system according to claim 28, wherein theprocessing block comprises a multiplication block configured to multiplyby a coefficient the shift information obtained before the multiplexingof the first and second views.
 30. An electronic device comprising: aprocessing system configured to process a multiplex image, the multipleximage comprising at least one first view intended to be viewed by afirst eye of an observer and at least one second view intended to beviewed by a second eye of the observer, the two views being spatiallysub-sampled according to complementary grids and mutually spatiallyshifted, the processing system comprising an input block configured toreceive the multiplex image, and a processing block comprising ademultiplexing block configured to demultiplex the multiplex image toextract the first and the second view, a first determination blockconfigured to determine a first window of the first view containing thelocation of a missing pixel of the first view and representing a firstdetail in the first view, a second determination block configured todetermine a second window of the second view representing the firstdetail in the second view, a formulation block configured to formulatethe missing pixel by using the pixels of the second window, and acontrol block configured to activate the first and second determinationblocks and the formulation block.
 31. The electronic device according toclaim 30, wherein the second determination block comprises: apreselection block configured to preselect several second candidatewindows within the second view, each second candidate window beingincluded in a zone of chosen size of the second view, the zonecontaining a position of the missing pixel; a computation blockconfigured to perform computations of correlation between the firstwindow and each second window; and a selection block configured toselect from among the second candidate windows the second windowexhibiting the most significant correlation with the first window. 32.The electronic device according to claim 31, wherein the selection blockis configured to select, on receipt of a stream comprising parallaxinformation associated with the two views, a second window included in azone of chosen size of the second view, the zone containing a positionof the missing pixel and whose shift with the first window is theclosest to the parallax information of the missing pixel.
 33. Theelectronic device according to claim 30, wherein the control block isconfigured to activate the first and second determination blocks and theformulation blocks for each missing pixel of the first view.